Research
Data Engineering
AI in the EGI e-infrastructure -- Past experiences and future strategies
Key Insights
- The EGI Federation has provided federated e-infrastructure services to European and global science for over 15 years.
- We review EGI's early experiences with AI in the interTwin and iMagine Horizon Eur.
Cite this synthesis
DOI: 10.48550/arXiv.2610.40494 ↗
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@misc{ acaciadata-research-ai-in-the-egi-e-infrastructure-past-experiences-and-future-s,
title = { AI in the EGI e-infrastructure -- Past experiences and future strategies },
author = { Leszek },
year = { 2026 },
doi = { 10.48550/arXiv.2610.40494 },
url = { http://arxiv.org/abs/2610.40494v1 },
note = {Summarized and classified by AcaciaFund}
}
TY - GEN TI - AI in the EGI e-infrastructure -- Past experiences and future strategies AU - Leszek PY - 2026 DO - 10.48550/arXiv.2610.40494 UR - http://arxiv.org/abs/2610.40494v1 ER -
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Overview
The EGI Federation has provided federated e-infrastructure services to European and global science for over 15 years. We review EGI's early experiences with AI in the interTwin and iMagine Horizon Eur
Key Topics
- Distributed Computing: A theme covered by this item within the data engineering context.
Why It Matters
This item adds to the data engineering knowledge base. Practitioners can use it to stay current on AI in the EGI e-infrastructure -- Past experiences and future strategies, but should validate its claims against primary sources and more recent work before relying on it in production decisions.
Key Takeaways
- Understand how AI in the EGI e-infrastructure -- Past experiences and future strategies relates to data engineering workflows and controls.
- Assess evidence quality and freshness before acting on the findings.
- Use the tagged topics to connect this item to related content in the library.
Article Metadata
Evergreen
Synthesized
SQI 0.750
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